AI Infrastructure Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2018 - 2028

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AI Infrastructure Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2018 - 2028

Status : November, 2020 | Semiconductor & Electronics | PPT format

Report Digest


AI Infrastructure Market: Introduction

The key factors fueling the AI infrastructure market incorporate expanding popularity of cloud AI stage, heightening demand regarding AI equipment in high-performance computing data centers, increasing focus on parallel processing in AI data centers, developing volume of information created in enterprises, for example, healthcare and automobiles, reduced hardware cost, improved computing power, developing number of cross-industry associations and joint efforts, and growing AI applications in ventures, for example, finance, automobiles, healthcare, and tourism.

AI Infrastructure Market: Novel Developments

  • IBM, in February, 2019, released a new product of IoT solutions which group advanced analytics and AI to help asset-intensive associations, for example, the Metropolitan Atlanta Rapid Transit Authority (MARTA), to improve support systems. The solution is intended to assist associations with lowering expenses and diminish the failure risk from physical resources, for example, manufacturing robots, vehicles, turbines, elevators, mining hardware, and electrical transformers.
  • HOSTKEY (Moscow) and AMD, a hardware renting and solid cloud solution supplier, in April, 2019, declared the arrival of AMD EPYC processor-based servers over HOSTKEY's infrastructure. The sending of AMD EPYC CPUs provides distinct features, for example, connectivity, core-count, and memory bandwidth, to HOSTKEY clients running carrying environment and high-end computing workloads.
  • Xilinx, in October 2018, came up with Alveo, a solution of powerful accelerators cards intended to significantly build performance as per industry-standard servers crosswise over on-premise and cloud data centers. With Alveo, clients can expect improvement in performance at low inertness when running basic data center applications, for example, continuous AI derivation, video handling, genomics, and information investigation.
  • Micron Technology, in March 2019, released product of Micron 2200 PCIe NVMe SSDs. These drives are accessible in limits going from 256 GB to 1 TB in a M.2 22x80 mm structure factor. This SSDs portfolio carries expanded data transfer capacity and diminished inactivity to customer processing in the AI infrastructure market by tending to developing needs crosswise over unique gear producers (OEMs) and different customers.

Some of the most prominent competitors operating in the competitive landscape of AI infrastructure market include –

  • NVIDIA Corporation (US)
  • Intel Corporation (US)
  • IBM (US)
  • Google (US)
  • Samsung Electronics (South Korea)
  • Microsoft (US)
  • Amazon Web Services (US)
  • Micron Technology (US)
  • CISCO (US)
  • ARM (UK)
  • Habana Labs (Israel)
  • Oracle (US)
  • Xilinx (US)
  • Dell (US)
  • Advanced Micro Devices (AMD) (US)
  • HPE (US)
  • Synopsys Inc. (US)

Artificial intelligence Infrastructure Market Dynamics

Increasing prevalence of Deep Learning to Fortify AI Infrastructure Market Demand

Deep learning innovation empowers a machine to manufacture a progressive portrayal. For example, the principal layer of the caught picture could examine for basic edges, trailed by a layer that gathers edge-framing shapes, (for example, square shape or circle). The last layer could distinguish machine parts. In the wake of examining various layers to distinguish the required information, the neural system can gather the highlights into a calculation that can perceive the general picture. The developing popularity of robots, cybersecurity applications, IoT, industrial mechanization, and machine vision innovation has made an enormous volume of information. This information fills in as a training module in deep learning innovation, which aides in diagnosis process and testing.

Artificial Intelligence Infrastructure Market: Geographical Analysis

At present, North America represents the biggest share of the global AI infrastructure market, and a comparative pattern is probably going to proceed in future. Canada and the US are relied upon to embrace AI-based servers at a high rate. These nations are industrially developed created economies in North America in view of their solid spotlight on putting resources into R&D exercises for the advancement of new advances. The North America AI infrastructure market is additionally sectioned into Canada, the US, and Mexico.

This study provides a particularized anatomy according to the L.E.A.P mechanism

  • Latest trends and cardinal growth prospects
  • Existing and future insights in growth
  • Ascensions in technology
  • Pain points

The regional analysis offers market assays across:

  • North America
  • Asia Pacific
  • Europe
  • Latin America
  • The Middle East and Africa

The study, prepared through the L.E.A.P mechanism adds a dimension of infallibility and assures precise information on all the growth dynamics.

Latest Trends and Cardinal Growth Prospects

The study assists in burnishing the knowledge of the stakeholder in terms of the emerging trends. The study provides an expansive coverage on the latest developments and novel profit-yielding sources that augur well with the market. A dedicated and determined team of experts conduct an out-and-out research on diverse aspects to offer ultimate breakthroughs in the market.

Existing and Future Insights in Growth

The interfusion of ubiquitous primary and secondary research through modern tools invites perfection and accuracy in every aspect. Primary research is circumspectly conducted through exhaustive interactions and interviews of experts. These valuable opinions are then neatly inducted in the report to allow the stakeholder for reaping the benefits. A treasure of secondary data is extracted via famed paid sources, yearly estimates and statements, renowned journals, and government documents. These sources assist in creating a robust database comprising existing and subsequent growth dynamics.

Ascensions in Technology

Diverse technological advancements and cutting-edge innovations in the market have been covered in this study to assist the stakeholder in research and development activities. Recent upgrades have also been added in the study, thus helping the stakeholder to paint the strokes of growth on the canvas of the market.

Pain Points

The study presents a plethora of challenges and obstacles that can hinder the growth of the market to allow the stakeholder to prepare their strategies accordingly.

The world ushered in the new decade with the shadow of the COVID-19 pandemic. The outbreak has damaged the growth prospects of several businesses and has crippled the entire economy. The study is in tandem with the changing dynamics of the market due to the SARS-CoV-2 outbreak. The study focuses on the coronavirus pandemic and analyses every aspect that impacts the growth positively or negatively.

An aerial perspective of the regions covered in this study enables the stakeholder to design strategies accordingly. The 360-degree assessment of every aspect associated with growth offers information on a rainbow of growth opportunities available across the market.

The exhaustive study motivates the stakeholder to take the 'LEAP' of faith and achieve success!

This report is the key to questions such as:

What are the prominent factors that will help in reshaping the market growth?

Which trends have the potential to bring expansive growth for the market?

What are the necessary strategies to overcome the ill-effects of the COVID-19 pandemic?

Which regions will emerge as champion growth contributors for the market?

Which aspects will serve as game-changers for the market?

What are the latest innovations in the market?

Which factors will hinder the growth of the market?